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islasso

The Induced Smoothed Lasso

An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.

Versions across snapshots

VersionRepositoryFileSize
1.6.2 rolling linux/jammy R-4.5 islasso_1.6.2.tar.gz 698.0 KiB
1.6.2 rolling linux/noble R-4.5 islasso_1.6.2.tar.gz 697.8 KiB
1.6.2 rolling source/ R- islasso_1.6.2.tar.gz 476.3 KiB
1.6.2 latest linux/jammy R-4.5 islasso_1.6.2.tar.gz 698.0 KiB
1.6.2 latest linux/noble R-4.5 islasso_1.6.2.tar.gz 697.8 KiB
1.6.2 latest source/ R- islasso_1.6.2.tar.gz 476.3 KiB
1.6.2 2026-04-26 source/ R- islasso_1.6.2.tar.gz 476.3 KiB
1.6.2 2026-04-23 source/ R- islasso_1.6.2.tar.gz 476.3 KiB
1.6.2 2026-04-09 windows/windows R-4.5 islasso_1.6.2.zip 935.9 KiB
1.5.2 2025-04-20 source/ R- islasso_1.5.2.tar.gz 251.0 KiB

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